The deliverable presents the complete formulation of the two-stage corrective-preventive control for the risk-based management of multiple contingencies under uncertainties and its application to a test system. An analysis of the distributions and correlations of forecast errors of wind and solar generation and of loads is also performed. Techniques for the selection of representative operating points are applied to a test grid and to a realistic grid model.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1435,1307,1340,1414,1359],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-194143","rapporti","type-rapporti","status-publish","hentry","tag-control","tag-renewable-energy-en","tag-resilience","tag-solar-energy","tag-wind","targets-research","rapporti_tipologie-report-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":188403,"post_author":"464","post_date":"2024-06-13 15:10:08","post_date_gmt":"2024-06-13 13:10:08","post_content":"","post_title":"Evolution, planning, scheduling and operation of power grids","post_excerpt":"The goal of the project is the pursuit of efficient management of the Italian electricity system that meets, in evolving scenarios, criteria of security and quality of operation, adequacy and resilience, ensuring a system-based approach. ","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"evolution-planning-scheduling-and-operation-of-power-grids","to_ping":"","pinged":"","post_modified":"2024-07-02 10:31:45","post_modified_gmt":"2024-07-02 08:31:45","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/evolution-planning-scheduling-and-operation-of-power-grids\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"
The growing severity and frequency of extreme events and the increasing penetration of renewable sources push the various stakeholders towards methodologies to manage N-k contingencies in the presence of uncertainties both on the occurrence of the contingencies themselves and on the forecasts of load and renewable generation.<\/p>\n
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The report proposes the complete formulation of the two-stage preventive-corrective risk-based control, with a focus on the corrective action models and on the development of the second stage dedicated to reactive power\/voltage (Volt\/Var) control. The control is applied to an IEEE test grid, with different levels of action deployment (preventive actions only, both preventive and corrective actions) and different levels of forecast uncertainty (only on wind plants or on all renewables and loads). The results indicate that a reduction (albeit limited) of forecast uncertainty determines a reduction of costs for the actions proposed by the control, for the same level of deployment of the actions. Furthermore, the use of corrective actions also makes secure those contingencies which cannot be secured only by preventive actions.<\/p>\n
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The probability distributions and correlations between the forecast errors of wind generation are then analysed, in the case when a short-term forecast is combined with a very short-term one. The results show a weak correlation for horizons up to 30′ and an increasing correlation as the contribution of the short-term forecast increases. The analysis of forecast errors on solar radiation in the surroundings of the aforementioned wind farms highlights an isotropic behavior of the correlation, which remains at high values even for considerable distances. On the contrary, the correlation between the load forecast errors, evaluated on the basis of the local subjective temperature, reveals a notable anisotropy.<\/p>\n
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The k-means clustering and Fast Forward Method techniques, set up in the previous year for the identification of representative operating conditions for the application of the above control in long-term analyses, have been applied to a test grid and to a realistic grid model, considering the variability of operating conditions due to loads and renewables in an OPF tool. The two techniques are compared for different (aggregate and vectorial) distance metrics in terms of mean square error with respect to the original distribution of operating points.<\/p>\n
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The Report is available on the Italian site<\/strong><\/p>\n","link_estreno":false,"scarica_file":false,"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2023-12-31","autori":"E. Ciapessoni, A. Pitto, E. Ferrario, D. Ronzio (RSE S.p.A.), M. Saviozzi, G. Mosaico, F. Cerchi, S. Massucco (Universit\u00e0 degli Studi di Genova)","rapporto":"","rif_rse":"23012450"},"satellite_post_url":""},"yoast_head":"\n